When can eigenvalue equations be used?

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In summary, eigenvalue equations are a fundamental aspect of quantum mechanics. They allow us to represent the values of physical properties and predict measurement outcomes with certainty if the system is in the corresponding eigenstate. This is a unique feature of quantum mechanics and is not present in classical mechanics. It is expected to persist in future theories as well.
  • #1
metroplex021
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Does anybody know what physical and mathematical conditions must be in place if we are to represent the states of physical systems using eigenvalue equations (so that we can represent the energy of a state |n> of a particle by H|n>=E|n>, etc?) Thanks!
 
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  • #2
|n> is the mathematical representation of the class of preparation procedures that ensure that the probability of getting the result En when you measure the system's energy is 1.
 
  • #3
metroplex021 said:
Does anybody know what physical and mathematical conditions must be in place if we are to represent the states of physical systems using eigenvalue equations (so that we can represent the energy of a state |n> of a particle by H|n>=E|n>, etc?) Thanks!

The |n> must be eigenstates of H in order that the equation H|n>=E_n|n> is valid.
 
  • #4
metroplex021 said:
Does anybody know what physical and mathematical conditions must be in place if we are to represent the states of physical systems using eigenvalue equations (so that we can represent the energy of a state |n> of a particle by H|n>=E|n>, etc?) Thanks!

Quantum mechanics answers the questions: If we measure the observable [tex]\hat A[/tex] for a specified experimental configuration, 1) what are the possible results of a measurement? And 2) what is the probability of obtaining each result? Answer 1) The possible results of a measurement are eigenvalues of [tex]\hat A[/tex]. Answer 2) The probability of obtaining each result is [tex]\left| {\left\langle {{a_k }}
\mathrel{\left | {\vphantom {{a_k } \psi }}
\right. \kern-\nulldelimiterspace}
{\psi } \right\rangle } \right|^2 [/tex], where the [tex]\left| {a_k } \right\rangle [/tex] are the eigenvectors of [tex]\hat A[/tex]. [tex]\left| \psi \right\rangle [/tex] is the state vector, which is determined by the experimental configuration. Thus, we need to know the eigenvalues and eigenvectors, which are obtained by solving the eigenvalue equation of the measured observable. Solving eigenvalue equations is part of doing quantum mechanics. If we are going to measure the energy then we must solve the energy eigenvalue equation [tex]H\left| n \right\rangle = E_n \left| n \right\rangle [/tex], where [tex]\left| n \right\rangle [/tex]
is the eigenvector corresponding to the eigenvalue [tex]E_n [/tex]. [tex]H[/tex] is the Hamiltonian operator.

If the state vector is [tex]\left| n \right\rangle [/tex], an eigenvector of the Hamiltonian, then a measurement of the energy always yields the value [tex]E_n [/tex]. There is no uncertainty in energy when the particle is in an energy eigenstate. Generally, repeated measurements yield the entire eigenvalue spectrum. By blocking out all results except [tex]E_n [/tex], the particle will be in eigenstate [tex]\left| n \right\rangle [/tex].
Best wishes.
 
  • #5
Thanks very much for these clarifications about the situation in QM, but what I'm wondering is a bit more general. What I'm wondering is whether it is a peculiarity of quantum mechanics that we can represent the values that physical systems have for various properties this way, or rather whether it's something that we can expect to be true of physical systems represented in theories quite generally. Is it the case, for example, that if we wanted we could represent the angular momentum or energy of a classical system using eigenvalue equations (even if we don't usually write them that way)? Or may we expect that, if X is a scalar-valued observable quantity of a system a that obeys an as-yet unknown theory that supplants quantum mechanics, then we should be able to write Xa =xa for some scalar x?

Basically what I'm wondering is whether the applicability of eigenvalue equations in physics is a peculiarity of QM, or a feature that we should expect to crop up in theories of physics quite generally. Any thoughts (or references) would be much appreciated!
 
  • #6
metroplex021 said:
whether it is a peculiarity of quantum mechanics that we can represent the values that physical systems have for various properties this way,

It is the essence of quantum mechanics. The established view is that all observables are represented by operators whose eigenvalues define their possible measurement values,
which are predictable with certainty if the system is in the corresponding eigenstate.

For example, the eigenvectors of the z-component J_3 of the angular momentum operator
give the states where the measurement of J-1 has a definite value.

This has no analogue in classical mechanics. It surely will survive coming changes in our theories, at least in a good approximation.
 

Related to When can eigenvalue equations be used?

1. What is an eigenvalue equation?

An eigenvalue equation is a mathematical equation used to find the eigenvalues and eigenvectors of a square matrix. It is represented as Ax = λx, where A is the matrix, x is the eigenvector, and λ is the eigenvalue.

2. When can eigenvalue equations be used?

Eigenvalue equations can be used for any square matrix, but they are especially useful in solving linear systems of equations and in analyzing the behavior of dynamical systems.

3. What is the significance of eigenvalue equations?

Eigenvalue equations are significant because they allow us to break down a complex matrix into simpler components, making it easier to analyze and understand. They also have many practical applications in fields such as physics, engineering, and computer science.

4. How are eigenvalue equations solved?

Eigenvalue equations are solved by finding the roots of the characteristic polynomial of the matrix. This can be done using various methods such as the determinant method, the power method, or the QR algorithm.

5. Are there any limitations to using eigenvalue equations?

One limitation is that eigenvalue equations can only be used for square matrices, meaning they must have the same number of rows and columns. Additionally, the matrix must be non-singular, meaning it has an inverse. Also, finding the eigenvectors and eigenvalues of a large matrix can be computationally intensive and may require advanced techniques.

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